Advancing the Utility of CI in Environmental Science

Craig Tweedie and Vladik Kreinovich in collaboration with Miguel Argaez, Olac Fuentes, Ann Gates, Deana Pennington, Paulo Pinheiro da Silva, Steve Roach

Meeting critical gaps in observations, knowledge, and

human capacities.

What controls land-atmosphere transfer of carbon, water and energy in

arctic and Chihuahuan Desert ecosystems over multiple spatial and

temporal scales?

Developing, assessing, and applying new prototype CI in

environmental science.

Can new CI improve the acquisition, processing, quality, trust and

usefulness of ES data?

Working groups Cyber-ShARE I:

Static tower systems

Sensors and sensor networks

Mobile sensing platforms

Web mapping applications

Middle/software development*

People:

Involved 8 faculty, 1 postdoc, 2 technicians, 9 PhD, 10 MSc, 3 Ugrad students

8 graduates at MSc or PhD

Infrastructure:

Jornada Experimental Range

UAV, KAP, Servers, SAN

Educational Framework:

Classes in ES and CS, internships, travel scholarships, research scholarships

Research Publications and other products:

33 Peer review publications, more than 70 presentations

Outreach:

Museum display, school visits, public talks, demonstrations, field tours

Collaborators:

USDA-ARS JER, JRN-LTER, NEON, Ameriflux, NPN, SpecNet, UNM, NMSU,

ITEX

Environmental Science – e.g. cross correlation of

spectral instruments, light use efficiency models of land-

atmosphere carbon flux, relationships between

phenology, climate, fluxes and optical properties

Implementation/Engineering – e.g. site choice,

eddy covariance tower, robotic tram system, sensors/

networks, phenocams, wireless comms, remote power,

software, ontologies & SAWs, WebGIS.

CI Research – e.g. processing and optimization, data

QAQC specification and flagging, machine learning

algorithms, performance testing, web service generator

e.g. Analysis,

data, models

e.g. Hardware,

software, best

practice, data

archives, web

GIS

e.g. Algorithms,

prototype

software,

theory, data

specifications

Background > Questions > Execution > Assessment > Products

Inte

rdis

cip

lin

ary

Tra

inin

g

New prototype CI for Environmental Science…

Site Selection Sensors and

data acquisition Communication Processing

Christine

Laney

Aline Jaimes

Information

System

With support from

Cyber-ShARE and our

many collaborators…

Site construction, testing and implementation

Solar

Power and

Communication

Sampling

Footprint

Plant Phenology

Measurements

Robotic

Tram

Eddy

Tower

Phenocams

Sensor

Network

Prevailing

Wind

• 9 Towers

• > 130

sensors

• > 300

derived

variables

• NRT data

transfer

~10Hz

• >350

phenology

stations

Web mappping

and Information

System

New research and education collaboration

Trans-disciplinary communication and activity

Tools (SAWs, software, algorithms)

Infrastructure development

Publication, presentation, graduation, participation

Synergism with other projects

Data documentation

Targeting bang for buck

Hardening of software tools

Diffusion of innovation

Speed of cycling ES to CS to ES

Human capacity versus demand

How can small labs play with larger entities

0.5 months summer salary (Tweedie, Kreinovich)

3yrs junior programmer (workforce development)

Grad. students (8 total, 2 working group, 2yr cap)

Grad. student tuition

Undergraduate hourly salary (recruitment)

Travel (JRN, conferences, study abroad)

Materials and supplies (minimal)

Ca. $900K/5yr

Links to other grants

Questions – same as Cyber-ShARE I

Working Groups:

1. Sensor technologies

2. Middleware and software development

3. Computational science

4. Web mapping and information systems

Overarching themes:

Faculty mentorship, peer training

2 grads/group plus synergies from other grants

Undergraduates ~ recruitment

Programmer ~ prototyping and showcasing

Scaleable and dispersable prototype technologies

Cheaper and effective ~ enhance network science

Android applications

Arctic coastal monitoring stations

3d mapping technologies

Robotic tram automation and enhancement

Re-purposing off the shelf technologies

Target improved automation, trust, efficiency

Synergies with NSF BAID, NSF AON, JRN LTER,

BOEMRE

Target bang for buck

Develop prototypes to showcase

Enhanced site choice

Web-based phenology analysis

Data QAQC

Hyperspectral reflectance processing routine

Joggler – data handler

Analytics for geospatial web services

UAV flight optimization

Link sensors to info systems…

Synergies with NSF BAID, NSF ARMAP, NSF AON, BOEMRE

Enhance trust, optimization, reduce uncertainty

Anomaly detection

Gap filling

Spatial and temporal scaling

Propagation of error

Optimization

Visualization

Functionality embedded in an end-to-end system.

Synergies with NSF BAID, BOEMRE

Tool and data integration, visualization, analysis

For cellular, mobile, desktop devices

Interoperability and best practice

Analytical, decision, and visualization tools

Data streaming

Web services

Provenance, SAWs, ontologies

Products for research, education, showcasing

Synergies with NSF ARMAP, NSF BAID, BOEMRE

Research, education, training:

Excellence in research and engineering

Education, training, workforce development

Scientific process, standards

Trust, uncertainty, optimization

Network and collaboratory science

Pipelines for dispersion of innovation

Prototype development and assessment

Publication and presentation

Catalyzing opportunity, entrepreneurialship

Institutional enhancement - recognition

Disciplinary expertise

Education and training

Scientist-centered tools

Generation of research challenges

Platforms for case driven development and enquiry

Local to international exposure

Cross disciplinary expertise

Synergy and transfer of knowledge

CI tools, hardware, other infrastructure

Novel innovation

Connectivity – institutional, agency, other

Collaboration